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Hadoop / HPE MapR Engineer

Charlotte, NC, US • Posted 17 hours ago • Updated 5 hours ago

Contract W2

On-site

$69.5 - $78.31/hr

Fitment

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Job Details

Skills

Recruiting
Business Operations
Software Engineering
Big Data
Data Storage
Linux
Unix Administration
Scripting Language
Python
Java
Scala
Bash
Apache Spark
High Availability
Grafana
Splunk
Scripting
Information Security Governance
Capacity Management
Root Cause Analysis
Optimization
Performance Tuning
Production Support
Apache Hadoop
Documentation
Regulatory Compliance
Collaboration

Summary

We are hiring a Hadoop / HPE MapR Engineer for a 12+ month contract opportunity in Charlotte, NC with hybrid flexibility. In this role, you will help shape and support large-scale enterprise data platforms, working with HPE MapR and Hadoop technologies that power critical business operations.

This is an excellent opportunity for an engineer who enjoys solving complex platform challenges in a high-impact environment. You will work on enterprise-scale clusters, partner with experienced teams on performance and reliability initiatives, and contribute to systems that support large-volume data workloads. If you are looking for a role that offers meaningful technical depth, hands-on ownership, and the chance to make a visible impact, this opportunity is built for you.

Contract Duration: 12+ Months

Required Skills & Experience

5+ years of experience in software engineering, big data, data platform, or infrastructure engineering, or equivalent experience
Strong hands-on experience with Hadoop distributions, specifically HPE MapR
Deep understanding of distributed systems, data storage, and cluster computing concepts
Proficiency in Linux/Unix system administration
Experience with at least one programming or scripting language: Python, Java, Scala, or Bash
Working knowledge of Apache Spark and batch/stream processing paradigms
Proven experience supporting production, enterprise-scale clusters with high availability requirements
Experience troubleshooting complex issues in large-scale environments
Familiarity with monitoring tools such as Grafana, Prometheus, Splunk, or similar

Desired Skills & Experience

Experience with automation, scripting, or infrastructure support in large distributed environments
Exposure to data platform security, governance, and compliance best practices
Experience with performance tuning, capacity planning, and root cause analysis for cluster-based systems
Ability to collaborate effectively across engineering, infrastructure, and stakeholder teams

What You'll Be Doing
How Your Time Will Be Spent

60% Hadoop / HPE MapR platform engineering, administration, and optimization
40% Monitoring, troubleshooting, performance tuning, and production support

What Your Day-to-Day Will Look Like

75% Hands-on engineering focused on building, supporting, troubleshooting, and optimizing Hadoop / HPE MapR platforms in a production environment
5% Documentation, operational planning, and support for compliance and platform best practices
20% Collaboration with stakeholders, engineering teams, and platform partners to deliver reliable, scalable data solutions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 877532
Posted 17 hours ago

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